• DocumentCode
    3384670
  • Title

    Study on software reliability growth model

  • Author

    Qingtian, Han ; Wenjing, Cao ; Lian, Li ; Xiaoyan, Gao

  • Author_Institution
    Naval Aeronaut. & Astronaut. Univ., Yantai, China
  • Volume
    1
  • fYear
    2009
  • fDate
    28-29 Nov. 2009
  • Firstpage
    194
  • Lastpage
    197
  • Abstract
    The reliability growth models for software were studied. The MLE of the parameters for the exponential reliability growth model were given. The result shows that the Exponential model is useful for the data containing small samples. The model and the estimation method were applied to a data set. Compared with the Duane and AMSAA model, the estimators of the parameters and MTBF of ERGII has the precision to some extent. Furthermore, the model and the estimation of the parameters are applicable for small sample data.
  • Keywords
    exponential distribution; parameter estimation; software reliability; exponential reliability growth model; parameter estimation; software reliability; Aerospace industry; Application software; Computational intelligence; Computer industry; Fault detection; Hardware; Maximum likelihood estimation; Parameter estimation; Predictive models; Software reliability; parameter estimation; reliability growth; softeware reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4606-3
  • Type

    conf

  • DOI
    10.1109/PACIIA.2009.5406460
  • Filename
    5406460